DocumentCode :
2092607
Title :
The NEMO Oceanic Model: Computational Performance Analysis and Optimization
Author :
Epicoco, Italo ; Mocavero, Silvia ; Aloisio, Giovanni
Author_Institution :
Univ. of Salento, Lecce, Italy
fYear :
2011
fDate :
2-4 Sept. 2011
Firstpage :
382
Lastpage :
388
Abstract :
The NEMO (Nucleus for European Modeling of the Ocean) oceanic model is one of the most widely used by the climate community. It is exploited with different configurations in more than 50 research projects for both long and short-term simulations. Computational requirements of the model and its implementation limit the exploitation of the emerging computational infrastructure at peta and exascale. A deep revision and analysis of the model and its implementation were needed. The paper describes the performance evaluation of the last release of the model, based on MPI parallelization, on the Mare Nostrum platform at the Barcelona Supercomputing Centre. The analysis of the scalability has been carried out taking into account different factors, i.e. the I/O system available on the platform, the domain decomposition of the model and the level of the parallelism. The analysis highlighted different bottlenecks due to the communication overhead. The code has been optimized reducing the communication weight within some frequently called functions and the parallelization has been improved introducing a second level of parallelism based on the OpenMP shared memory paradigm.
Keywords :
geophysics computing; message passing; oceanography; shared memory systems; Barcelona Supercomputing Centre; MPI parallelization; Mare Nostrum platform; NEMO oceanic model; Nucleus for European Modeling of the Ocean oceanic model; OpenMP shared memory paradigm; climate community; code optimization; communication overhead; communication weight reduction; computational performance analysis; exascale computational infrastructure; long simulations; peta computational infrastructure; short-term simulations; Analytical models; Computational modeling; Mathematical model; Oceans; Optimization; Predictive models; Scalability; Code profiling; Hybrid parallelization; Oceanic climate model; Performance optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications (HPCC), 2011 IEEE 13th International Conference on
Conference_Location :
Banff, AB
Print_ISBN :
978-1-4577-1564-8
Electronic_ISBN :
978-0-7695-4538-7
Type :
conf
DOI :
10.1109/HPCC.2011.56
Filename :
6063015
Link To Document :
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